Open ailich opened 2 years ago
makes sense, yes. I've been reworking large parts of superClass and will consider this suggestion. Also SpatRasterDatasets seems like a good input structure I wasn't aware of.
Thanks!
I was actually mistaken about the differing extents. I tried using a SpatRasterDataset
instead of a list
of rasters and got "Error: [sds] extents do not match ()".
Sometimes I'd like to fit a single model using
superClass
orunsuperClass
on several disjointed areas where I have raster data of the same variables. The way I've done this is the past for supervised classification is to sample each raster at the training points to create a single dataframe, then fit the model incaret
, and the useraster::predict
on each raster individually. It would be nice however if this could be done directly inRSToolbox
and perhaps with the upgrade toterra
you could includeSpatRasterDatasets
as a supported input which is essentially like having alist
of rasters/raster stacks that can be of differing extents.